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» Self-Supervised Chinese Word Segmentation
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IDA
2001
Springer
13 years 11 months ago
Self-Supervised Chinese Word Segmentation
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
Fuchun Peng, Dale Schuurmans
ACL
2009
13 years 4 months ago
An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Ka...
ACL
2012
11 years 9 months ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li